6-Month Horizon

Where Charleston Tri-County is about to get hot.

Charleston Heat Score (CHS) — composite leading-indicator ranking per zip. Each zone's score blends 7 signals: zoning velocity (PUDs / rezonings), permit velocity vs 4yr baseline, local sentiment from news + social, Google Trends search interest, relocation-event proximity, transaction velocity change, and adjacent-zip appreciation. Methodology cites Bates' Gentrification Vulnerability Index (PSU 2013), NYU Furman Center NCC, and FHFA HPI — see worker/processing/heat_score.py for the full citation block + weight table.

Zones scored

Hot zones (≥50)

warming or hot

Top score

0.0

of 100

Snapshot

—

recomputed nightly

How to read the score →A zone with no zoning activity, no permits, no media mentions, and flat transaction volume scores near zero. A zone where PUDs are pending, permits are running 2× their 4-year baseline, news/social are talking about traffic + new schools, and adjacent zips are appreciating ≥10% YoY scores 70+. Hot scores are 6-month-out signals — by the time MLS catches up, the competition has already arrived. Use the top signal column to see which leading indicator is driving each zone.

Hot-zone leaderboard · —

top 0 zones by composite Heat Score

Heat< 30 cool30-50 watch50-70 warming≥ 70 hot

#	Zone	Heat	Top signal	Sub-scores · 0-100
				🏛 zone	🔨 permit	📰 sent	🔎 search	🚚 reloc	🔄 tx	📈 adj
No zones scored yet. Run worker.processing.heat_score.

Methodology citations

Bates, L. (2013). Gentrification and Displacement Study: Implementing an Equitable Inclusive Development Strategy in the Context of Gentrification. Portland State University. Used by Portland, Seattle, DC.

NYU Furman Center. State of New York City's Housing and Neighborhoods — annual NCC (Neighborhood Change Composite) methodology.

Federal Housing Finance Agency. House Price Index — repeat-sales regression. Used as the basis for the adjacent-appreciation sub-score.

Choi, H., & Varian, H. (2009 onward). Google search-interest as a leading indicator of consumer activity. Used as the basis for the search-interest sub-score (currently 0 pending pytrends rate-limit handling).